• Wim Bernasco
• Sam Langton
• Asier Moneva
• Alex Trinidad
• Franziska Yasrebi-de Kom

• Help participants transform from R novices to R users!
• Structured along a typical workflow
• Supported by Data and Software Carpentries
• Material is online and open

Source: R for Data Science

Source: R for Data Science

Day 1 (5 October)

• The basics
• Packages
• Import
• Explore
• Tidy

Day 2 (12 October)

• Join
• Transform
• Visualise

09:30-10:00: Introduction

10:00-11:00: The basics

11:00-11:15: Coffee

11:15-12:00: Exercise: using a script

12:00-13:00: Lunch

13:00-14:00: Import & explore

14:00-14:45: Exercise: import & explore

14:45-15:00: Coffee

15:00-16:00: Tidy

16:00-16:45: Exercise: tidy

16:45-17:00: Closing

All slides and worksheets are available online:

09:30-10:00: Introduction

10:00-11:00: Joining

11:00-11:15: Coffee

11:15-12:00: Exercise: joining

12:00-13:00: Lunch

13:00-14:00: Transform

14:00-14:45: Exercise: transform

14:45-15:00: Coffee

15:00-16:00: Visualise

16:00-16:45: Exercise: visualise

16:45-17:00: Closing